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- Tasks: Design and optimise prompts for AI, focusing on healthcare technology.
- Company: Join an innovative company dedicated to improving lives through intelligent support tools.
- Benefits: Enjoy 29 days holiday, health insurance, and a flexible remote work environment.
- Why this job: Be part of a mission-driven team revolutionising care delivery with cutting-edge AI technology.
- Qualifications: Experience with LLMs, SQL, JSON, and unstructured text is preferred.
- Other info: Open to graduates, juniors, or experienced professionals; competitive salary based on experience.
The predicted salary is between 28000 - 54000 £ per year.
Experience working with LLMs and prompt design (ideally OpenAI or similar). An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs). Exposure to RAG architectures and vector stores (such as FAISS, Pinecone).
Location: Remote (M4 / M5 / M50 area preferred but flexible).
Salary: £35-90k (depending on experience).
Benefits: 29 days holiday (+BHs), Pension, Perkbox, Health Insurance, Employee Assistance Program, Investors in People (Gold).
Are you an aspiring or experienced AI Prompt Engineer ready to develop and optimise natural language interfaces, prompt strategies and data pipelines for Healthcare Technology? Join an innovative business with a reputation and commitment for improving the quality of people’s lives. They are on a mission to empower and revolutionise how care is delivered to others through the effective use of intelligent support tools by leveraging LLMs, Prompt Design and Data & Knowledge Engineering.
I’m seeking an AI Prompt Engineer to join the R&D team and design, test and refine prompts, clean and map unstructured text and structured fields into usable formats.
Prompt Engineer AI & Data - Could suit Graduate / Junior or Experienced employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Prompt Engineer AI & Data - Could suit Graduate / Junior or Experienced
✨Tip Number 1
Familiarise yourself with the latest advancements in large language models (LLMs) and prompt design. Engage with online communities or forums where professionals discuss their experiences and share insights about tools like OpenAI, as this will help you understand industry standards and expectations.
✨Tip Number 2
Gain hands-on experience with structured data formats such as SQL, JSON, and CSV. Consider working on personal projects or contributing to open-source initiatives that involve data manipulation, as this practical knowledge will be invaluable during interviews.
✨Tip Number 3
Explore RAG architectures and vector stores like FAISS and Pinecone. Understanding how these technologies work will not only enhance your technical skills but also demonstrate your commitment to staying current in the field, making you a more attractive candidate.
✨Tip Number 4
Network with professionals in the AI and data engineering space. Attend webinars, workshops, or local meetups to connect with others in the industry. Building relationships can lead to valuable referrals and insights about job openings, including opportunities at StudySmarter.
We think you need these skills to ace Prompt Engineer AI & Data - Could suit Graduate / Junior or Experienced
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant experience with LLMs, prompt design, and data handling. Use specific examples to demonstrate your skills in SQL, JSON, and working with unstructured text.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's mission. Mention any projects or experiences that showcase your ability to develop and optimise natural language interfaces.
Showcase Technical Skills: If you have experience with RAG architectures or vector stores like FAISS or Pinecone, be sure to include this in your application. Highlighting these skills can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Click To Hired
✨Showcase Your Knowledge of LLMs
Make sure to highlight your experience with large language models (LLMs) during the interview. Be prepared to discuss specific projects or tasks where you've designed prompts or worked with similar technologies, such as OpenAI.
✨Demonstrate Data Handling Skills
Since the role involves working with structured and unstructured data, be ready to explain your familiarity with SQL, JSON, and CSV formats. You might also want to share examples of how you've cleaned or mapped data in previous roles or projects.
✨Familiarise Yourself with RAG Architectures
Research Retrieval-Augmented Generation (RAG) architectures and vector stores like FAISS or Pinecone. Being able to discuss these concepts will show that you understand the technical landscape and are prepared for the challenges of the role.
✨Prepare Questions About the Company’s Mission
The company is focused on improving healthcare technology. Prepare thoughtful questions about their mission and how they leverage AI to enhance care delivery. This shows your genuine interest in their work and aligns your values with theirs.
